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program
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Lectures
Lecture
Date
Lecturer
Topics
Slides
References
1
18.2.
JK
Intro, sample bioinformatics tasks.
intro
2
25.2.
JS
Biological sequence alignment.
alignment
,
alignment_2p
,
linear space
Durbin's book, ch 2,6
3
4.3.
JK
BLAST algorithm and its modifications.
multi align
,
BLAST
Altschul97
4
11.3.
JK
Sequencing algorithms, fragment assembly.
assembly
Nagarajan13
,
Compeau11
5
18.3.
JK
Phylogenetic trees, hierarchical clustering.
phylogeny
,
dist_based
Durbin's book, ch 7
6
25.3.
JK
Phylogenetic trees, parsimony and probabilistic methods.
parsimony
,
probablistic
Durbin's book, ch 8
7
1.4.
JK
Markov models.
Markov chains
Durbin's book, ch 3
8
8.4.
JK
Markov models of genomic sequences, gene finidng, profile HMMs.
HMM
,
applications
Burge97
9
15.4.
JS
High-throughput data analysis, marker detection, predictive modeling.
microarray
,
DeSEQ
Goeman07
-
22.4.
-
Easter Monday
10
29.4.
JK
RNA secondary structure prediction
RNA secondary
Eddy04
, Durbin's book, ch 9,10
11
6.5.
JK
Modeling of higher protein structures, protein databases.
Protein structure prediction
,
Threading
Dill12
,
Rost98
,
Lathorp96
12
13.5.
JK
Gene ontology, gene/protein function prediction.
gfp-intro.pdf
13
20.5.
JS
Network inference and modeling.
Network inference
Sachs05
courses/bin/program.txt
· Last modified: 2019/06/10 10:54 by
klema